Generating unfair ratings to attack online rating systems
Many online rating systems have been developed to provide its users a point of reference when deciding which counter party they should choose to transact with. To encounter attacks to maliciously manipulate those systems, many trust model researches have been in stron...
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Format: | Final Year Project |
Language: | English |
Published: |
2012
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Online Access: | http://hdl.handle.net/10356/48528 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Many online rating systems have been developed to provide its users a point of reference when
deciding which counter party they should choose to transact with. To encounter attacks to maliciously
manipulate those systems, many trust model researches have been in strong development. However
not a lot of efforts have been put into testing their performance: it is very difficult to compare their
performance against different types of attack. This project aims to provide a platform to do that.
In this project we developed a marketplace simulation software to allow user to test and compare the
robustness of their trust models[1]. The environment we built is similar to Amazon’s Marketplace in
which product prices are non-negotiable. The user will be able to configure the market place, plug in
ready-made trust models or develop their own using the platform’s facility and receive coherent data
about their performance.
During the project we strictly follow Test Driven software development methodology with various
carefully chosen technologies. The objectives, details of working process as well as the application’s
implementation will be discussed in this report. |
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